摘要
在噪声和云层背景的干扰下,为了有效地从红外图像序列中检测到低信噪比的运动小目标,采用形态学Tophat滤波滤除低频背景部分以增强目标;并通过混合高斯背景模型进行背景估计和自适应背景更新,将前景部分和背景部分差分。实验表明,Tophat滤波和混合高斯模型算法相结合能够准确实现天空背景下红外目标的检测。
In order to detect small moving targets effectively from the low SNR infi＇ared image sequence under the interference of cloud hackground and noise, morphology Tophat filter was used to enhanee the target by fihering out the low frequeney background. Then, the Gaussian mixture haekground model was used for background estinmtion and adaptive background updating, to separate the foreground part from the background. Experimental results showed that： The Tophat fihering used together with Gaussian mixture background model can detect infrared targets accurately from the dynamic cloud background.
出处
《电光与控制》
北大核心
2015年第6期44-46,共3页
Electronics Optics & Control
关键词
红外目标
目标检测
天空背景
Tophat
混合高斯背景模型
infrared target
target detection
accurately from the dynamic cloud background. sky background
Tophat
Gaussian mixture background model
